pdfexp {lmomco} | R Documentation

## Probability Density Function of the Exponential Distribution

### Description

This function computes the probability density of the Exponential distribution given parameters (xi and α) of the distribution computed by `parexp`. The probability density function of the distribution is

f(x) = α^{-1} e^{(frac{-(x - xi)}{α})}

where f(x) is the probability density for the quantile x, xi is a location parameter and α is a scale parameter.

### Usage

    pdfexp(x, para)

### Arguments

`x` | A real value.
`para` | The parameters from `parexp` or similar.

### Value

Probability density (F) for x.

### Author(s)

W.H. Asquith

### References

Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, vol. 52, p. 105–124.

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

### See Also

`cdfexp`, `quaexp`, `parexp`

### Examples

      lmr <- lmom.ub(c(123,34,4,654,37,78))
      expp <- parexp(lmr)
      x <- quaexp(.5,expp)
      pdfexp(x,expp)

[Package lmomco version 0.92 Index]